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» Function Optimization with Coevolutionary Algorithms
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 29 days ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2004
Springer
135views Optimization» more  GECCO 2004»
14 years 25 days ago
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution
A model for the co-evolution of patterns and classifiers is presented. The CellNet system for generating binary classifiers is used as a base for experimentation. The CellNet syste...
Taras Kowaliw, Nawwaf N. Kharma, Chris Jensen, Hus...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 months ago
A no-free-lunch framework for coevolution
The No-Free-Lunch theorem is a fundamental result in the field of black-box function optimization. Recent work has shown that coevolution can exhibit free lunches. The question a...
Travis C. Service, Daniel R. Tauritz
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 1 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
PPSN
1994
Springer
13 years 11 months ago
A Cooperative Coevolutionary Approach to Function Optimization
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
Mitchell A. Potter, Kenneth A. De Jong